DOI: 10.1016/j.foreco.2013.10.029
Scopus记录号: 2-s2.0-84888128135
论文题名: Site-specific versus pantropical allometric equations: Which option to estimate the biomass of a moist central African forest?
作者: Ngomanda A. ; Engone Obiang N.L. ; Lebamba J. ; Moundounga Mavouroulou Q. ; Gomat H. ; Mankou G.S. ; Loumeto J. ; Midoko Iponga D. ; Kossi Ditsouga F. ; Zinga Koumba R. ; Botsika Bobé K.H. ; Mikala Okouyi C. ; Nyangadouma R. ; Lépengué N. ; Mbatchi B. ; Picard N.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2014
卷: 312 起始页码: 1
结束页码: 9
语种: 英语
英文关键词: Aboveground woody biomass
; Carbon stock
; Congo basin
; Gabon
; Pantropical equation
; Plant allometry
Scopus关键词: Above-ground woody biomass
; Carbon stocks
; Congo basins
; Gabon
; Pantropical equation
; Plant allometry
; Biology
; Biomass
; Forestry
; aboveground biomass
; allometry
; biomass
; data acquisition
; tree
; tropical forest
; Biomass
; Carbon
; Congo
; Forestry
; Wood
; Gabon
英文摘要: Fewer data on tree biomass and allometric equations are available in African tropical moist forests than in the other tropical continents. When needing a biomass allometric equation, one thus faces the dilemma of using either a pantropical equation with the risk that it is biased for Africa, or a site-specific equation that is imprecise. Using a data set on aboveground biomass for 101 trees destructively measured at Zadié in northeastern Gabon, we fitted site-specific allometric equations and assessed the validity of ten existing equations. The best fitted model without height as a predictor was: B = exp[ - 4.0596 + 4.0624lnD - 0.228(lnD)2 + 1.4307lnρ], whereas the best fitted model with height was: B = exp[ - 2.5680 + 0.9517ln(D2H) + 1.1891lnρ], where B is the aboveground biomass in kg, D the diameter at breast height in cm, H the height in m, and ρ the wood density in gcm-3. Separate allometric equations for the stem, stump, foliage and branches were also fitted. Chave et al. (2005)'s pantropical equations for moist forests, that are currently the most commonly used allometric equations in central Africa, were not valid at Zadié with an overestimation of biomass of about 40%. The allometric equations of the same authors for wet forests were valid at Zadié, even though the climatic zone does not correspond. More data on tree biomass are needed in central Africa to explore the natural range of variability in tree biomass and identify the factors that influence variations among sites. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66217
Appears in Collections: 影响、适应和脆弱性
There are no files associated with this item.
作者单位: IRET, BP 13354 Libreville, Gabon; Université des Sciences et Techniques de Masuku, Faculté des Sciences, Département de biologie, BP 943 Franceville, Gabon; CRDPI, BP 1291 Pointe Noire, Congo; Université Marien Ngouabi, Faculté des Sciences, Département de biologie végétale, BP 69 Brazzaville, Congo; CIRAD, UPR Bsef, Campus International de Baillarguet, 34398 Montpellier Cedex 5, France
Recommended Citation:
Ngomanda A.,Engone Obiang N.L.,Lebamba J.,et al. Site-specific versus pantropical allometric equations: Which option to estimate the biomass of a moist central African forest?[J]. Forest Ecology and Management,2014-01-01,312